Acceleration of the anisotropic PSPI imaging algorithm with dataflow engines
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Data
2013-06
Autori
Tomas, Carlo
Cazzola, Luca
Oriato, Diego
Pell, Oliver
Theis, Daniela
Satta, Guido
Bonomi, Ernesto
Titolo del periodico
ISSN
Titolo del volume
Editore
Curran Associates
Abstract
Although time-domain depth migration techniques have been successfully ported to run on modern hardware accelerators, their ultimate obstacle is the I/O overhead present during the imaging step. Frequency-domain depth migration algorithms overcome this limitation and can exploit the full potential of new computing technologies. In particular, our implementation of Phase Shift Plus Interpolation (PSPI) method is characterized by fast running time, good quality results under low signal-to-noise ratio conditions and excellent results for steep dips. We provide a novel computational dataflow scheme to perform acceleration of PSPI on a generic dataflow engine. We present speedup results obtained on the state-of-the-art dataflow technology for synthetic VTI datasets. Our measurements indicate that a dataflow approach can achieve high speedups despite larger and larger computational domains, increased complexity of the anisotropic approach and the I/O overhead during angle-gathers calculation.
Descrizione
Keywords
prestack depth imaging , pspi , hpc , fpga , dataflow engines